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Detecting and resolving errors in coding and data entry.

Shows whether the association in a contingency table is statistically significant.

Examples are Cramer’s phi and the correlation coefficient.

The most commonly used statistical measure of variation.

A graphic display of a univariate distribution.

Graphic depiction of a bivariate distribution.

The value or category in a distribution with the highest frequency.

Replacing missing values in data analysis by estimating values from the available data.

Indicates how much the dependent variable changes for every one-unit increase in the independent variable.

The middle value in a distribution.

A cleaning technique that can be programmed for automatic detection in computer-assisted interviewing.

Documentation for a data file that usually contains the question wording and responses codes for each variable.

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